Statistical Analysis: Analyses will be based on intention to treat. Analyses will be performed comparing patients who used NSS to the standard care group and the Music/Photo group. Descriptive analyses will be performed to assess subject characteristics (demographics, disease characteristics, education, prior CAM use and attitudes). Procedure characteristics will be compared including duration, complications, and medication usage. Continuous variables will be represented as mean plus or minus SE, medians and interquartile ranges. Bivariate analyses of outcomes will compare pain ratings, POMS subscales, and psychological distress between the groups. Chi squared test or Fisher's Exact test will be used to compare categorical variables such as age, gender, and race between groups. Unpaired t-tests or the Kruskal Wallis test will be used to compare continuous outcomes such as Pain Inventory scores. Pain scores will be analyzed as continuous variables and will also be categorized into mild (0-2), moderate (3-6) and severe (7-10). Multivariate analyses will be performed in order to adjust for possible confounding factors such as amount of narcotic analgesics given and amount of local anesthetic used. Ordinal logistic regression models to explain pain level by study intervention will be developed to adjust for factors such as age, gender, race, procedure type, education level, local anesthetic dose, narcotic dose, benzodiazepine dose, and BSI score. Additional factors will be included in the models if they are significant in bivariate analyses. Logistic regression models will be developed to determine factors associated with favorable response to NSS. Stepwise maximum-likelihood ratio estimation with a significance level of 0.2 for removal and 0.1 for inclusion will assist in model development. For all analyses significance will be set at p<0.05.